Assessing VocBench Custom Forms in Supporting Editing of Lemon Datasets.

Lecture Notes in Artificial Intelligence(2017)

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摘要
The lexicon model for ontologies OntoLex/lemon has been released in May, 2016, following more than 2 years of work of the Ontology-Lexicon (OntoLex) W3C Community Group. Lemon provides rich linguistic grounding for ontologies, including the representation of morphological and syntactic properties of lexical entries as well as the syntax-semantics interface. The rich expressivity of lemon requires however non-trivial modeling, with complex patterns characterized by indirections and reifications, indeed very difficult to handle by general-purpose ontology editing tools providing triple-grained manipulation. Extending such tools with lemon-tailored editing primitives would enable agile editing of lexicons and ontology-lexicon interfaces, while still benefiting from the wider modeling spectrum provided by RDF. In this paper, we assess the potential of VocBench Custom Forms, a flexible data-driven form definition mechanism being developed for the VocBench 3 collaborative editing platform, by evaluating their ability to assist the creation of lemon entities, disburdening the user from low-level modeling details and letting them focus on the content being edited.
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关键词
Lemon,OntoLex,Human-computer interaction,Lexicon,VocBench,Ontology engineering
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